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المؤلفWang, Zhuoyao
المؤلفHayat M.M.
المؤلفGhani N.
المؤلفShaban K.B.
تاريخ الإتاحة2022-12-21T10:01:45Z
تاريخ النشر2014
اسم المنشور2014 IEEE 3rd International Conference on Cloud Networking, CloudNet 2014
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/CloudNet.2014.6969018
معرّف المصادر الموحدhttp://hdl.handle.net/10576/37486
الملخصA novel probabilistic multi-tenant model is developed to characterize the service performance of cloud systems. The model considers essential cloud-system characteristics including virtualization, multi-tenancy and heterogeneity of the physical servers. Given the probabilistic multi-tenant model, three virtual machine mapping algorithms are proposed. Of particular interest is the max-load-first algorithm, which firstly maps the largest VM, in terms of the workload size of a user's request it serves, to the fastest physical server in the system. Monte-Carlo simulation results show that the max-load-first algorithm outperforms the other two algorithms based on the mean of stochastic completion time of a group of arbitrary users' requests. The simulation results also provide insight on how the initial loads of servers affect the performance of the cloud system. 2014 IEEE.
راعي المشروعQatar National Research Fund
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعcloud computing
cloud systems
load balancing
multi-tenancy
stochastic modeling
virtual machine
العنوانA probabilistic multi-tenant model for virtual machine mapping in cloud systems
النوعConference Paper
الصفحات339-343
dc.accessType Abstract Only


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